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Jan Vondrak

  1. Lazier Than Lazy Greedy
    2014/09/28 by Baharan Mirzasoleiman, Mirzasoleiman, Baharan, Ashwinkumar Badanidiyuru +7 · 15 citations
    Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #cs.DS #cs.IR #cs.LG
  2. Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees
    2013/04/02 by Vitaly Feldman, Feldman, Vitaly, Pravesh K. Kothari +5 · 6 citations
    Computer Science · #Complexity and Algorithms in Graphs #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #cs.CC #cs.DS #cs.LG
  3. A note on concentration of submodular functions
    2010/05/17 by Jan Vondrak, Vondrak, Jan · 4 citations
    Computer Science · #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #cs.DM #cs.DS
  4. Dependent Randomized Rounding for Matroid Polytopes and Applications
    2009/09/24 by Chandra Chekuri, Jan Vondrak, J. Vondrák +4 · 6 citations
    Computer Science · #Advanced Graph Theory Research #Complexity and Algorithms in Graphs #Computational Geometry and Mesh Generation #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #cs.DM #cs.DS
  5. Optimal Bounds on Approximation of Submodular and XOS Functions by Juntas
    2013/07/12 by Vitaly Feldman, Jan Vondrak, Jan Vondrák +2 · 5 citations
    Computer Science · #Complexity and Algorithms in Graphs #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Algorithms #cs.CC #cs.DS #cs.LG
  6. Is submodularity testable?
    2010/08/04 by C. Seshadhri, Jan Vondrak, Jan Vondrák +2 · 4 citations
    Computer Science · #Advanced Graph Theory Research #Complexity and Algorithms in Graphs #cs.DM #cs.DS #semigroups and automata theory
  7. Tight Bounds on Low-degree Spectral Concentration of Submodular and XOS functions
    2015/04/13 by Vitaly Feldman, Jan Vondrak, Jan Vondrák +3 · 3 citations
    Computer Science · #Complexity and Algorithms in Graphs #Cryptography and Data Security #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Optimization and Search Problems #cs.DS #cs.LG
  8. The Computational Complexity of Truthfulness in Combinatorial Auctions
    2012/02/13 by Shahar Dobzinski, Jan Vondrak, Jan Vondrák +2 · 2 citations
    Computer Science · Decision Sciences · #Auction Theory and Applications #Complexity and Algorithms in Graphs #Computer Science and Game Theory (cs.GT) #Cryptography and Data Security #FOS: Computer and information sciences #cs.GT
  9. Online submodular welfare maximization: Greedy is optimal
    2012/04/04 by Michael Kapralov, Kapralov, Michael, Ian Post +3 · 2 citations
    Computer Science · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #cs.DS
  10. Limitations of randomized mechanisms for combinatorial auctions
    2011/09/06 by Shaddin Dughmi, Jan Vondrak, Jan Vondrák +2 · 3 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Game Theory and Voting Systems #Optimization and Search Problems #cs.DS #cs.GT